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ISBN 10: 1350190403 ISBN 13: 9781350190405
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Añadir al carritoPaperback. Condición: New. Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own.Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers.This book is a comprehensive research guide to MDA.
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Idioma: Inglés
Publicado por Bloomsbury USA Academic, 2020
ISBN 10: 1350190403 ISBN 13: 9781350190405
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Idioma: Inglés
Publicado por Bloomsbury Publishing PLC, GB, 2020
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Añadir al carritoPaperback. Condición: New. Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own.Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers.This book is a comprehensive research guide to MDA.
Idioma: Inglés
Publicado por Bloomsbury Publishing PLC Sep 2020, 2020
ISBN 10: 1350190403 ISBN 13: 9781350190405
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Publicado por Bloomsbury Publishing (UK), 2020
ISBN 10: 1350190403 ISBN 13: 9781350190405
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Idioma: Inglés
Publicado por Bloomsbury Publishing (UK), 2020
ISBN 10: 1350190403 ISBN 13: 9781350190405
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Idioma: Inglés
Publicado por Bloomsbury Publishing PLC, London, 2020
ISBN 10: 1350190403 ISBN 13: 9781350190405
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Añadir al carritoPaperback. Condición: new. Paperback. Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own.Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers.This book is a comprehensive research guide to MDA. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Idioma: Inglés
Publicado por Bloomsbury Publishing PLC, 2020
ISBN 10: 1350190403 ISBN 13: 9781350190405
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Idioma: Inglés
Publicado por Bloomsbury Publishing PLC, London, 2020
ISBN 10: 1350190403 ISBN 13: 9781350190405
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Añadir al carritoPaperback. Condición: new. Paperback. Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own.Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers.This book is a comprehensive research guide to MDA. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.